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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-10

  • This period covers praise given between 2022-03-28 and 2022-04-30.
  • We allocated a total of 4020 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 4 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
89.0 kristofer#1475 for their front-end and back-end development work on the praise dashboard
84.67 Tamarandom#9361 Great 18 minute talk at ETH Denver (https://www.youtube.com/watch?v=7UvPCDbBKcQ). You must've prepped for hours for the talk and the slides you prepared.
82.0 Tamarandom#9361 for supporting to accomodate people going to Amsterdam for Devconnect. Your clarity really helped us feel more calm regarding our staying plans.
60.25 GideonRo#3175 the extraordinary visual explainers and workflows for the newcomer to the TEC and onboarding sensemaking from the many discussions. The skill you have to take multiple conversations and make them so concrete and clear is extraordinary. You really move the needle with your contributions to Communitas. Quanitfy this high, folks! Dozens of hours went into these three visual diagrams!
59.33 kristofer#1475 for development on the praise dashboard and TEC praise bot
56.67 kristofer#1475 for taking on the complex set of tickets to setup a docker deployment infrastructure for the praise app -- despite the technology being unfamilar to him
55.47 Tamarandom#9361 all the crafty logistical work she did finding accommodation for 9 people in Amsterdam a week before the conference!
50.67 kristofer#1475 for pushing out this new awesome bot!
49.75 iviangita#3204 for being an incredible legal wg lead and singlehandedly pushing everything forward in this very critical working group
49.75 Vyvy-vi#5040 for finish developing the /whoami and /help Praise commands!

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 720 praises, 95 (12.94%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 720 praises, 82 (11.17%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.